mining technique 中文意思是什麼

mining technique 解釋
采礦技術
  • mining : n 1 采礦,采礦業,礦業。2 敷設地雷[水雷]。adj 開礦的,采礦的。 a mining engineer 采礦工程師。 min...
  • technique : n. 1. (專門)技術;(藝術上的)技巧,技能。2. 手法〈如畫法,演奏法等〉。3. 方法。
  1. Crm of logistics enterprises and data mining technique

    與數據挖掘技術
  2. Outlier detection is a very important technique in data mining. in this paper, a more practicable system on outlier mining technique in high - dimensional is presented, which uses reduction character of rough set to cut out some inessential attributes and then mines outliers in subspace of every correlation rules

    本文提出了對高維空間下離群點挖掘技術上的一個改進,即利用粗糙集的約簡特性對高維空間下的數據屬性進行約簡,通過約簡一些無關緊要的屬性來減少高維空間的維數。
  3. The mining technique is shaky.

    這項采礦工藝不可靠。
  4. The environment is also better, which contributes to higher quality, ” says bj ? rn rosengren, president, atlas copco construction and mining technique

    新工廠的環境所更好了,這也會讓我們生產出更優質的產品。
  5. Atlas copco construction and mining technique has twelve years manufacturing experience in china and enjoys a leading market position in china

    阿特拉斯科普柯建築礦山技術在中國有著十二年的製造經驗,在中國享有市場領頭軍的地位。
  6. A solution is proposed to apply the traditional criminal profiling method to digital evidence analysis research. based on association rule data mining technique, a method called cb - pide was designed. this method can focus on the investigating space and dig out the potential abnormal behavior

    本文將傳統犯罪取證研究中的犯罪輪廓構建技術的基本思想和方法應用計算書l取證方法關鍵問題研究于計算機犯罪證據分析的研究中,提出電子數據證據犯罪行為輪廓( criminalbehavio : profilinginnigitalevidenee ,簡稱cb一pide )分析方法。
  7. In this paper, after finding out the flaw of present dids and improving on present dids, i find a distributed intrusion detection system, based on data mining technique. we short the new system for dmdids

    本文研究分析目前的dids后,針對目前dids存在的問題,改進得到基於數據挖掘的分散式入侵檢測系統的架構( dmdids ) ,它將基於網路和基於主機的入侵檢測系統有機地結合在一起。
  8. Another highlight of the architecture is introduction of data mining technique. ids makes use of data mining algorithms to abstract key features of system runtime status from security audit data such as system log and network data stream, and then constructs classify engine of audit data

    本文提出的體系結構中還引入了數據挖掘思想,利用數據挖掘技術中的關聯分析、分類等演算法從系統日誌、系統調用序列、網路流等海量的安全審計數據中提取關鍵的系統特徵屬性,根據這些屬性生成安全審計數據的分類模型用於入侵檢測。
  9. To detect both known and unknown intrusion patterns, the system introduces a blended frame that makes use of both misuse detection approach and anomaly detection approach. the one of the highlight of the architecture is introduction of data mining technique, and the other is introduction of genetic algorithms. the ids uses data mining algorithms to abstract key features of system runtime status from security audit data, and it uses genetic algorithm to select the feature subset to reduce the amount of data that must be obtained from running processes and classified

    本文陳述了所研究系統的主要特點和技術:將智能體( agent )技術應用於入侵檢測系統,解決了傳統入侵檢測系統的集中式解決方案的弊病,充分利用網路資源協同完成入侵檢測任務;利用基於主機和基於網路的數據源,形成一種完整的混合型的結構,從而能收集到更加全面的信息;使用了異常檢測技術和誤用檢測技術,採用一種混合型的結構,既能檢測已知的攻擊模式,又能發現新的攻擊模式。
  10. Mining technique of combined arrangement of coal seam with entry and inclined roadway in common sublevel

    煤層與共用區段平巷斜巷聯系布置開采技術應用
  11. Coal mining area environmental protection and clean mining technique

    煤礦區環境保護與清潔開采技術
  12. Safe mining technique for coal face with large mining height and hard roof

    堅硬頂板工作面礦山壓力顯現特徵
  13. First - order rule mining technique based on first - order logic is often called as inductive logic programming ( ilp )

    基於一階邏輯的一階規則挖掘技術常被稱作歸納邏輯程序設計( ilp ) 。
  14. The paper analyzes present state, existing problem and situation to be faced in the mine, and puts forward development direction in mining technique in the light of mining technique situation at home and abroad

    分析了雲浮硫鐵礦企業集團公司露天礦生產現狀、存在的問題和面臨的形勢,結合國內外礦山的采礦工藝現狀,提出了在采礦技術方面的發展方向。
  15. Based on selective learning of data mining and analysis of characteristics of data or information in rock mechanics and engineering, some data mining algorithm models are applied to analysis problems of rock engineering and the research is combined with practical engineering projects. relevance analysis to slope rock rheological test, rock mass quality assessment of dam foundation rock mass and displacement time series forecasting analysis to underground opening are performed by using data mining technique in this paper

    本文在較全面的探討現有數據挖掘技術以及分析了巖體工程有關數據和信息特點基礎上,結合具體工程問題,基於數據挖掘技術進行了邊坡巖體流變試驗成果的相關性分析、壩基巖體的巖體質量評價分級研究和地下洞室監測位移序列時序預測分析。
  16. Research on mine clean mining technique and measures of environment protection

    潔凈煤開采技術及其環保措施
  17. Application of lateral pin - point blasting mining technique in the sublevel open - stopes

    側向爆破拋擲出礦技術在分段空場法中的應用
  18. Constructing language model by using data mining technique

    使用數據挖掘技術建立語言模型
  19. This thesis is focused on the study of data - mining technique in the intelligent decision - making auxiliary system. a data - mining system based on the in - situ investigating information and the in - situ analyzing and testing data is designed and realized. in order to manage the system and select the proper algorithm, an illustration table of the algorithm and a rule - selecting database of the algorithm are proposed in the model management of this system

    本文重點研究了智能輔助決策系統中的數據挖掘技術,設計並實現了現場調查信息和分析測試信息下的數據挖掘系統,在該系統的模型管理中,提出了演算法說明表和演算法選擇規則庫,用於演算法的管理和選擇。
  20. In short, the innovations of this research can be concluded as fomowings : ( 1 ) to take the lead in applying the newest data mining technique based - on the artificial intelligence in the traditional apparel expenditure behavior, which is not only unique in angle of view but also creative in the research methodology ; ( 2 ) to integrate each aspect of the household apparel consumption decision - making behavior within one system, then to apply the outcome into market practice ; ( 3 ) to take use of both the traditional statistic methods and data mining technique based - on hml to analysis apparel consumption decision - making behavior, which learn from others " strong points to offset one ' s weakness and achieve mastery through a comprehensive study of the subject

    具體邇一言,本研究的創新之處可以歸納為: ( 1 )率先將基於人工智慧的數據挖掘最新技術和成果應用於傳統的服裝消費行為的研究,不僅視角獨特而且在消費行為研究的方法論上有所突破。 ( 2 )利用數據挖掘工具將家庭服裝消費行為的各個方面進行了系統的整合研究,突破了傳統研究的單一性和局部性,從而挖掘真正代表消費者購買傾向的規則和模式,並將研究結果應用於市場實際操作加以驗證,實現理論與實踐的結合。 ( 3 )將以數理統計為中心的傳統統計方法與以市場數據為中心的數據挖掘技術方法交叉應用於服裝消費行為的實際問題研究,取長補短,融會貫通。
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